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Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. 

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society—and what this technology means for us all. An AI learned to win chess by making moves human grand masters had never conceived. Another...

This audiobook is narrated by an AI Voice. The AI revolution is here, but most advice assumes you already understand the basics. The Beginner's AI Bible solves that problem, giving you a clear, practical path from complete beginner to confident AI user. This is a 5-in-1 guide covering setup...

Success in the Intelligence Age requires more than prompt tricks. It requires a new way of thinking, creating, learning, and solving problems. In Brain Dancing 2.0: Going Meta with Personal AI, industry veteran Patrick T. Magee combines decades of software engineering experience with practical frameworks for human-AI collaboration. Drawing on a 15-year career at Microsoft and later work delivering software solutions for more than 200 organizations, Magee explains how to transform AI from a novelty chatbot into a trusted intellectual partner.

Who Should Own AI StrategyAI Is Not an IT Project. It Is a Leadership Test.By Tim Glomb Jr. Most companies are approaching AI the wrong way. They're buying tools, launching pilots, and telling employees to "use more AI"—while the business itself stays fundamentally unchanged. The same inefficient workflows. The same fragmented systems. The same endless meetings and manual reporting. The same people acting as human glue between disconnected processes. That's not transformation. That's motion.

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

This is a practical, non-technical guide for business leaders, entrepreneurs, and curious minds. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures.

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

How AI Really Thinks takes you behind the screen and uncovers the ten core secrets that make modern artificial intelligence work. You’ll discover why data acts as AI’s fuel, how algorithms function as its rulebook, and how machines learn from examples the same way people learn from experience. You’ll explore the training methods that help AI recognise pictures and understand speech, and you’ll see how neural networks—loosely inspired by the human brain—allow AI to detect patterns far too complex for us to notice.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

Artificial intelligence (AI) and performance expert Josh Cavalier shares his in-depth knowledge and skills to help L&D professionals master learning experience design by using generative AI in their employee learning and development efforts. More than just a technical manual on generative AI or a collection of best prompt practices, this book explores how AI is reshaping jobs, skill development, and human performance. Cavalier provides his Learning and Development AI Ecosystem framework as a practical road map for integrating AI into your day-to-day work and your organization.

AI for Business is a practical guide for leaders who want to harness the power of artificial intelligence without getting lost in the hype. Drawing on decades of experience at the intersection of cutting-edge research, public policy and industry transformation, Jon Whittle shows how AI can create real, human-centred value in your organisation. It offers a framework for thinking strategically about AI adoption, covering everything from defining the right use cases to building responsible governance, navigating ethics, understanding productivity impacts, and aligning AI with your values.

This audiobook is narrated by an AI Voice. You are not looking at a toy when you open Claude Sonnet 5; you are looking at one of the most capable professional assistants ever placed on a laptop. Yet the gap between what it can do and what most people ever ask of it is enormous. This book exists...

Sell Smarter provides insights into the overlap between artificial and emotional intelligence, as well as the challenges leadership faces, especially in sales. Today's buyers and sellers stand at the threshold of transformation, equipped to harness data, empathy, and technology to elevate every interaction. In this new era of AI business models, decisions unfold with confidence and speed, driven by sharper insights and a richer understanding of what truly matters.

When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.

New York Times bestselling author Deepak Chopra delivers a visionary and unprecedented exploration of how artificial intelligence can revolutionize well-being and open new horizons for personal development. “AI has the potential to help us create a more peaceful, just, sustainable, healthy...

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. 

Bostrom’s previous book, Superintelligence: Paths, Dangers, Strategies (OUP, 2014) sparked a global conversation on AI that continues to this day. That book, which became a surprise New York Times bestseller, focused on what might happen if AI development goes wrong. But what if things go right? Suppose we develop superintelligence safely and ethically, and that we make good use of the almost magical powers this technology would unlock.

Artificial intelligence will transform law. That does not mean it will produce justice. Courts are backlogged. Legal help remains unaffordable for billions of people. Rules designed for an earlier age are struggling to keep pace with modern life. AI now gives us an extraordinary opportunity, not...

In Untangling AI, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model...